Alberto Sangiovanni-Vincentelli, Edward A. Lee, Richard Murray, Clas Jacobson, Eelco Scholte, John F. Arnold, Amit Fisher
Citation
Alberto Sangiovanni-Vincentelli, Edward A. Lee, Richard Murray, Clas Jacobson, Eelco Scholte, John F. Arnold, Amit Fisher. "A Proposal for an Industry-Academic Partnership for Pre-Competitive Research: iCyPhy, Industrial Cyber-Physical Systems". Unpublished article, March, 2012.
Abstract
The design of distributed multi-scale complex systems is largely an
unsolved problem. Complex systems can be characterized as composed of
heterogeneous components which for cyber-physical systems particularly
focus on electromechanical, thermal, computing, and communication
elements. These subsystems are interconnected, often uncertain in
specification, and encompassing environmental effects and the dynamics
of all the elements --- both cyber and physical --- that are critical
to the performance of the overall system. Increasingly systems are
software and network enabled, and there is significant cost and
schedule pressure on developing such large systems. The technology
drivers causing the change in delivery are the pervasive use of
electronic control units, and consequently of communication networks,
and the blurring of distinctions between software, firmware, hardware
and multi-physics systems. These drivers are creating the possibility
for placing vastly more functionality into products, but at the same
time increase interconnectivity and the risk of unwanted system
interactions found late in the development process.
To solve this problem we need a rigorous approach to systems engineering intended as a methodology for product system level design, optimization and verification that:
- Provides guarantees of performance and reliability against customer requirements while achieving cost and time-to-market objectives;
- Produces modular, extensible architectures for products incorporating mechanical components, embedded electronic systems and application software;
- Exploits analytical tools and techniques to determine design choices and ensure robust system performance despite variations caused by product manufacturing, integration with other products and customer operation; and
- Achieves these objectives through the coordinated execution of a prescriptive, repeatable and measurable process.
However, industry at large is still far from developing and using Systems Engineering as defined above. Indeed there are no rigorous foundations in systems engineering capabilities that can address the issues of the overall design flow, and no analysis and synthesis tools for the design and verification of distributed systems. Consequently systems engineering is at best a collection of common-sense, heuristic approaches based on experience and use of legacy designs. There have been advances in the domain of systems engineering science in academia and in some tool companies but the overall knowledge of these advances in the system industry is at best spotty.
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| Citation formats |
- HTML
Alberto Sangiovanni-Vincentelli, Edward A. Lee, Richard Murray, Clas Jacobson, Eelco Scholte, John F. Arnold, Amit Fisher. <a href="http://www.icyphy.org/pubs/1.html" ><i>A Proposal for an Industry-Academic Partnership for Pre-Competitive Research: iCyPhy, Industrial Cyber-Physical Systems</i></a>, Unpublished article, March, 2012.
- Plain text
Alberto Sangiovanni-Vincentelli, Edward A. Lee, Richard Murray, Clas Jacobson, Eelco Scholte, John F. Arnold, Amit Fisher. "A Proposal for an Industry-Academic Partnership for Pre-Competitive Research: iCyPhy, Industrial Cyber-Physical Systems". Unpublished article, March, 2012.
- BibTeX
@unpublished{SangiovanniVincentelliLeeMurrayJacobsonScholteArnold12_ProposalForIndustryAcademicPartnershipForPreCompetitive, author = {Alberto Sangiovanni-Vincentelli and Edward A. Lee and Richard Murray and Clas Jacobson and Eelco Scholte and John F. Arnold and Amit Fisher}, title = {A Proposal for an Industry-Academic Partnership for Pre-Competitive Research: iCyPhy, Industrial Cyber-Physical Systems}, month = {March}, year = {2012}, abstract = {The design of distributed multi-scale complex systems is largely an unsolved problem. Complex systems can be characterized as composed of heterogeneous components which for cyber-physical systems particularly focus on electromechanical, thermal, computing, and communication elements. These subsystems are interconnected, often uncertain in specification, and encompassing environmental effects and the dynamics of all the elements --- both cyber and physical --- that are critical to the performance of the overall system. Increasingly systems are software and network enabled, and there is significant cost and schedule pressure on developing such large systems. The technology drivers causing the change in delivery are the pervasive use of electronic control units, and consequently of communication networks, and the blurring of distinctions between software, firmware, hardware and multi-physics systems. These drivers are creating the possibility for placing vastly more functionality into products, but at the same time increase interconnectivity and the risk of unwanted system interactions found late in the development process. <p>To solve this problem we need a rigorous approach to systems engineering intended as a methodology for product system level design, optimization and verification that: </p> <ol> <li>Provides guarantees of performance and reliability against customer requirements while achieving cost and time-to-market objectives;</li> <li>Produces modular, extensible architectures for products incorporating mechanical components, embedded electronic systems and application software;</li> <li>Exploits analytical tools and techniques to determine design choices and ensure robust system performance despite variations caused by product manufacturing, integration with other products and customer operation; and</li> <li>Achieves these objectives through the coordinated execution of a prescriptive, repeatable and measurable process. </li> </ol> <p>However, industry at large is still far from developing and using Systems Engineering as defined above. Indeed there are no rigorous foundations in systems engineering capabilities that can address the issues of the overall design flow, and no analysis and synthesis tools for the design and verification of distributed systems. Consequently systems engineering is at best a collection of common-sense, heuristic approaches based on experience and use of legacy designs. There have been advances in the domain of systems engineering science in academia and in some tool companies but the overall knowledge of these advances in the system industry is at best spotty.</p>}, URL = {http://icyphy.org/pubs/1.html} }
Posted by Christopher Brooks on 29 Nov 2012.
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